Investment Rating - The report maintains a positive outlook on the non-bank financial sector, indicating an "Overweight" rating for the insurance sector and a favorable view on the brokerage sector [1][2][59]. Core Insights - The insurance sector is expected to benefit from a decrease in new liability costs, an increase in the value of dividend insurance options, and a stabilization of long-term interest rates, leading to a positive performance outlook [2][3]. - The brokerage sector is facing intense competition, particularly in brokerage and investment banking services, but there is potential for improved profitability if fee competition stabilizes [2][3]. Summary by Sections Market Review - The Shanghai Composite Index closed at 4,054.93 with a decline of 1.8% during the week of July 28 to August 1, 2025. The non-bank index closed at 1,941.35, down 2.4% [5][11]. - The brokerage sector index fell by 3.2%, while the insurance sector index saw a slight decline of 0.1% [5][11]. Non-Bank Financial Insights - As of August 1, 2025, the 10-year government bond yield was 1.71%, showing a decrease of 0.87 basis points, while the credit spread for corporate bonds was 0.31% [11][14]. - The average daily trading volume in the stock market was 18,099.28 billion, reflecting a decrease of 2.11% week-on-week [14][33]. Key Company Announcements - China Pacific Insurance announced a capital increase of up to HKD 1.5 billion for its wholly-owned subsidiary in Hong Kong [20]. - New China Life Insurance plans to distribute a cash dividend of RMB 1.99 per share, totaling approximately RMB 6.21 billion [24]. Investment Analysis - The report recommends several stocks in the insurance sector, including China Life, China Pacific, and New China Life, based on their expected performance [2][3]. - For the brokerage sector, it suggests focusing on leading firms with strong competitive positions, such as GF Securities and CITIC Securities, as well as those with significant international business capabilities [2][3].

Market Outlook - The market is expected to show a fluctuating pattern in early August, returning to an upward trend in late August, potentially reaching new highs [1][2] - The overall demand is recovering, with government spending and exports performing well, while real estate and investment face pressure [2][5] Earnings Reports - The earnings season is anticipated to reveal mixed results, with some stocks facing adjustment pressure before disclosures [1][2] - The second quarter earnings reports are expected to confirm improvements in operating cash flow for leading companies [2][5] Investment Strategy - A "dumbbell" investment strategy is recommended, focusing on high ROE and free cash flow companies on one side, and sectors like AI on the other [3][4] - Key sectors to watch include military trade, semiconductor autonomy, and new consumption [3] Style and Sector Allocation - In August, the market is expected to experience increased volatility, favoring mainstream styles [4] - Recommended indices include Sci-Tech 50, CSI 1000, and Hang Seng Technology [4] Industry Focus - Attention should be given to sectors with expected earnings recovery, including non-bank financials, pharmaceuticals, power equipment, machinery, defense, and computing [5][7] - Key investment themes include AI applications, AI hardware, non-bank finance, defense, and innovative drugs [5][6] Liquidity and Fund Supply - There is an expectation of continued net inflow of incremental funds, with active participation from financing, private equity, and industry ETFs [5][6] - The macro liquidity remains loose, but potential tightening may occur due to increased government bond supply [5][6] Economic Indicators - High-performing sectors in July included resources, midstream manufacturing, and information technology, with price increases noted in steel and coal [7] - The overall A-share earnings report is expected to face pressure, but certain sectors may still show robust growth [6][7]

Quantitative Models and Construction Methods 1. Model Name: Credit Impulse Timing Strategy - **Model Construction Idea**: The model uses credit impulse as a timing indicator for A-shares, where the direction of credit impulse determines the market position (full position when upward, empty position when downward) [6][13][14] - **Model Construction Process**: - Calculate the year-on-year growth rate of long-term corporate loans (TTM) as the credit impulse indicator - Use the direction of the credit impulse to determine market positions: full position when the indicator is upward, empty position when downward - Formula: $ \text{Credit Impulse} = \frac{\text{Long-term Corporate Loans (TTM)} - \text{Long-term Corporate Loans (TTM, previous year)}}{\text{Long-term Corporate Loans (TTM, previous year)}} $ - **Model Evaluation**: The model has shown high effectiveness in avoiding major downtrends in the market [6][13][14] 2. Model Name: Beta Dispersion Timing Strategy - **Model Construction Idea**: The model uses beta dispersion as an indicator to measure local market sentiment overheating, with significant monthly timing effectiveness [6][17] - **Model Construction Process**: - Calculate the monthly beta dispersion of the market - Use the beta dispersion to determine market positions: higher beta dispersion indicates higher risk - Formula: $ \text{Beta Dispersion} = \frac{\sum_{i=1}^{N} (\beta_i - \bar{\beta})^2}{N} $ where $\beta_i$ is the beta of stock i, $\bar{\beta}$ is the average beta, and N is the number of stocks - **Model Evaluation**: The model has shown significant monthly timing effectiveness since 2013 [6][17] 3. Model Name: Trading Volume Timing Strategy - **Model Construction Idea**: The model uses trading volume as an indicator for market timing, with significant daily timing effectiveness [6][17] - **Model Construction Process**: - Calculate the daily trading volume and its 60-day moving average - Use the trading volume to determine market positions: higher trading volume indicates stronger market support - Formula: $ \text{Trading Volume Indicator} = \frac{\text{Daily Trading Volume}}{\text{60-day Moving Average of Trading Volume}} $ - **Model Evaluation**: The model has shown significant daily timing effectiveness since 2013 [6][17] 4. Composite Model: Credit Impulse, Beta Dispersion, Trading Volume - **Model Construction Idea**: The composite model combines credit impulse, beta dispersion, and trading volume indicators for market timing [6][18] - **Model Construction Process**: - Use equal weighting to combine the three indicators - Adjust positions based on the combined signal: average 2-week signal change frequency - Formula: $ \text{Composite Indicator} = \frac{\text{Credit Impulse Indicator} + \text{Beta Dispersion Indicator} + \text{Trading Volume Indicator}}{3} $ - **Model Evaluation**: The composite model has shown a high annual turnover rate and significant annualized returns since 2013 [6][18] Model Backtesting Results 1. Credit Impulse Timing Strategy - **Annualized Return**: 10.83% [6][13][14] - **Avoided Major Downtrends**: 2015 H2, 2018, 2022-2024 H1 [6][13][14] 2. Beta Dispersion Timing Strategy - **Annualized Return**: 13.12% [6][17] - **Monthly Timing Effectiveness**: Significant since 2013 [6][17] 3. Trading Volume Timing Strategy - **Annualized Return**: 14.33% [6][17] - **Daily Timing Effectiveness**: Significant since 2013 [6][17] 4. Composite Model: Credit Impulse, Beta Dispersion, Trading Volume - **Annualized Return**: 19.98% [6][18] - **Annual Turnover Rate**: 24 times [6][18] Quantitative Factors and Construction Methods 1. Factor Name: Manufacturing PMI Timing Strategy - **Factor Construction Idea**: The factor uses manufacturing PMI as a timing indicator for A-shares, with positions adjusted based on PMI levels [6][13] - **Factor Construction Process**: - Calculate the rolling 5-year percentile of manufacturing PMI - Adjust positions based on PMI levels: full position when >60%, empty position when <40%, half position when between 40%-60% - Formula: $ \text{PMI Timing Indicator} = \begin{cases} \text{Full Position} & \text{if PMI Percentile} > 60\% \\ \text{Empty Position} & \text{if PMI Percentile} < 40\% \\ \text{Half Position} & \text{if 40\% \leq PMI Percentile \leq 60\%} \end{cases} $ - **Factor Evaluation**: The factor has shown poor timing performance with an annualized return of only 0.41% since 2009 [6][13] Factor Backtesting Results 1. Manufacturing PMI Timing Strategy - **Annualized Return**: 0.41% [6][13] - **Comparison with Benchmark**: Underperformed the Wind All A Index annualized return of 8.49% [6][13] Style Rotation Models and Construction Methods 1. Model Name: Growth-Value Style Rotation Model - **Model Construction Idea**: The model suggests overweighting growth based on economic cycle analysis, valuation differences, and sentiment indicators [35][36] - **Model Construction Process**: - Analyze economic cycle indicators: profitability slope, interest rate cycle, credit cycle - Calculate valuation differences: PE and PB percentiles - Assess sentiment indicators: turnover and volatility differences - Formula: $ \text{Growth-Value Rotation Indicator} = \frac{\text{Profitability Slope Indicator} + \text{Interest Rate Cycle Indicator} + \text{Credit Cycle Indicator} + \text{PE Difference Indicator} + \text{PB Difference Indicator} + \text{Turnover Difference Indicator} + \text{Volatility Difference Indicator}}{7} $ - **Model Evaluation**: The model suggests overweighting growth based on current indicators [35][36] 2. Model Name: Small-Cap Large-Cap Style Rotation Model - **Model Construction Idea**: The model suggests balanced allocation based on economic cycle analysis, valuation differences, and sentiment indicators [35][41] - **Model Construction Process**: - Analyze economic cycle indicators: profitability slope, interest rate cycle, credit cycle - Calculate valuation differences: PE and PB percentiles - Assess sentiment indicators: turnover and volatility differences - Formula: $ \text{Small-Cap Large-Cap Rotation Indicator} = \frac{\text{Profitability Slope Indicator} + \text{Interest Rate Cycle Indicator} + \text{Credit Cycle Indicator} + \text{PE Difference Indicator} + \text{PB Difference Indicator} + \text{Turnover Difference Indicator} + \text{Volatility Difference Indicator}}{7} $ - **Model Evaluation**: The model suggests balanced allocation based on current indicators [35][41] 3. Composite Model: Four-Dimensional Style Rotation Model - **Model Construction Idea**: The model combines growth-value and small-cap large-cap rotation models for allocation [35][44] - **Model Construction Process**: - Combine the signals from growth-value and small-cap large-cap rotation models - Adjust positions based on combined signals - Formula: $ \text{Four-Dimensional Rotation Indicator} = \frac{\text{Growth-Value Rotation Indicator} + \text{Small-Cap Large-Cap Rotation Indicator}}{2} $ - **Model Evaluation**: The model suggests specific allocation proportions based on current indicators [35][44] Style Rotation Model Backtesting Results 1. Growth-Value Style Rotation Model - **Annualized Return**: 11.65% [35][37] - **Comparison with Benchmark**: Outperformed the benchmark annualized return of 6.91% [35][37] 2. Small-Cap Large-Cap Style Rotation Model - **Annualized Return**: 12.32% [35][42] - **Comparison with Benchmark**: Outperformed the benchmark annualized return of 7.11% [35][42] 3. Composite Model: Four-Dimensional Style Rotation Model - **Annualized Return**: 13.22% [35][44] - **Comparison with Benchmark**: Outperformed the benchmark annualized return of 7.50% [35][44]

Group 1 - The core viewpoint is that China’s Longxin Technology has been initiated coverage by China Merchants Securities (Hong Kong) with a "strong buy" rating [1]

Group 1 - The report maintains an investment rating of "Outperform the Market" for the non-bank financial sector [2][43]. - The core viewpoint emphasizes that the current market sentiment is recovering, supported by a series of policy implementations, which may lead to further increases in trading volume and index rebounds [43][44]. - The report highlights that the brokerage sector's price-to-book (PB) ratio is still at historical low levels, indicating potential for growth [44]. Group 2 - The report reviews the performance of the brokerage sector from 2003 to 2025, noting that the sector has experienced significant excess returns compared to the CSI 300 index during various market cycles [5][9]. - It identifies that the brokerage sector's beta has shown a slight recovery in 2025, currently at 1.66, indicating higher volatility compared to the market [5][6]. - The report points out that the current trading volume in the brokerage sector is positively correlated with the index performance, suggesting that increased trading activity often leads to higher index values [23][41]. Group 3 - The report indicates that the H-share brokerage stocks have shown stronger elasticity in the current market cycle, outperforming their A-share counterparts significantly [12][16]. - It notes that the average daily trading volume of the H-share brokerage sector has reached historical highs, with a peak of 15.3% of the total Hong Kong market trading volume [41]. - The report recommends specific brokerage firms such as GF Securities, East Money, CITIC Securities, Huatai Securities, and Hong Kong Exchanges for investment consideration [44].

鉴于业绩的强劲增长，Meta当前估值为19倍2025财年非GAAP市盈率，对比行业均值31倍，及同行亚马 逊27倍和微软37倍相对具有吸引力。该行将Meta设为行业首推股票，目标价从759美元上调至866美 元，分别对应2025、2026财年24倍、22倍市盈率，以及22倍、19倍企业价值倍数(EV)/EBITDA，评 级"增持" 。 招商证券国际发表研究报告指，Meta次季收入按年增长22%，盈利按年增长38%，三季度收入指引下限 高于市场共识。此外，Meta用户增长强劲，日活跃用户增长6%，AI驱动广告效果增强，带动广告展示 量和平均广告价格增长。 ...

Group 1: Life Insurance Sector - The life insurance companies reported a cumulative premium income of 27,705 billion, a year-on-year increase of 5.4%, showing continuous improvement in growth rate [1] - In June, the premium income for life insurance companies was 4,908 billion, with a year-on-year growth of 16.3%, maintaining rapid growth [1] - The premium income from life insurance was 4,141 billion, reflecting a year-on-year increase of 21.0%, which remains the main driver for the rapid growth of overall life insurance premiums [1] Group 2: Health and Accident Insurance - Health insurance premium income was 735 billion, showing a year-on-year decrease of 3.6%, while accident insurance premium income was 33 billion, down 9.4%, indicating ongoing pressure on growth [1] Group 3: Property Insurance Sector - The property insurance companies reported a cumulative premium income of 9,645 billion, a year-on-year increase of 5.1%, indicating stable growth [3] - In June, the premium income for property insurance companies was 1,839 billion, with a year-on-year growth of 4.6% [3] - The premium income from auto insurance was 785 billion, reflecting a year-on-year increase of 4.9%, driven by government subsidies and a positive car market trend [3] Group 4: Overall Industry Performance - The cumulative premium income for the insurance industry reached 37,350 billion, a year-on-year increase of 5.3%, with continuous improvement in growth rate [4] - As of the end of June, the total assets of the insurance industry were 392,214 billion, an increase of 9.2% compared to the beginning of the year [4] - The net assets of the insurance industry were 37,540 billion, reflecting a year-to-date increase of 12.9% [4]

Core Viewpoint - Budweiser APAC (01876) has seen a significant decline in net profit expectations for the first half of 2025, with a projected decrease of 24%, indicating a general market sentiment of lowered profitability [1] Financial Performance - Budweiser APAC's second-quarter performance was largely in line with expectations, but sales in key markets like China and South Korea have generally contracted [1] - Despite a slight increase in average selling prices due to product upgrades, this was insufficient to offset the impact of declining sales [1] Market Position - The management of Budweiser APAC has made efforts to steer the business in the right direction; however, these efforts appear inadequate to reverse the decline in market share as a premium brand during China's consumption upgrade cycle [1]

智通财经APP获悉，招商证券发布研究报告称，中国宏桥(01378)为全产业链布局的全球一体化电解铝企 业，产能较高，有成本和规模优势。公司股息率高，旗下宏创控股并购重组后铝业核心资产将在A股上 市，叠加西芒杜铁矿放量有望增厚利润，进一步打开估值空间。预计公司25/26/27年每股收益分别为 2.37/2.45/2.52元，对应PE为8.1/7.9/7.6，首次覆盖给予"强烈推荐"投资评级。 股息率较高，主要资产将在A股上市进一步打开估值空间。公司自2011年上市以来坚持分红，2024年每 股股息161港仙，较2023年增长156%，按照当年最后一个交易日的收盘价计算，股息率为13.69%，按 2025年7月28日股价计算为6.89%，高于国内其他主要铝企，在港股各行业头部上市公司中也具备优 势。公司规模较大，毛利率和ROE在同业公司中较高，PE低于主要上市铝企，截至2025年7月28日为 8.25。 公司旗下主要电解铝生产企业宏拓实业将由公司控股子公司宏创控股并购，从而在A股上市，宏拓实业 有氧化铝产能1900万吨和电解铝产能646万吨，并购完成后将显著提升宏创控股的规模和盈利能力，同 时有利于打开中国宏桥的 ...

Core Viewpoint - China Hongqiao (01378) is a globally integrated electrolytic aluminum enterprise with a full industry chain layout, high production capacity, and cost advantages. The company has a high dividend yield, and the merger and restructuring of its subsidiary Hongchuang Holdings (002379) will lead to the listing of core aluminum assets in A-shares, further enhancing profit margins and valuation space. The expected earnings per share for 2025, 2026, and 2027 are 2.37, 2.45, and 2.52 CNY, respectively, corresponding to PE ratios of 8.1, 7.9, and 7.6, with a strong buy rating given for the first coverage [1]. Group 1 - China Hongqiao is a leading electrolytic aluminum producer with a comprehensive domestic and international industry chain layout, producing and selling aluminum products including electrolytic aluminum, alumina, and aluminum processing products, with a total electrolytic aluminum capacity of 6.46 million tons and alumina capacity of 21 million tons [2]. - The company has a stable gross profit margin, with a projected sales gross margin of 27.0% for 2024, significantly higher than comparable companies, and has maintained stable historical gross margins [2]. - The company is focused on future sustainability, relocating 203,000 tons of electrolytic aluminum capacity from Shandong to Yunnan to increase the use of green electricity, with 148.8 thousand tons already in production as of Q1 2025 [2]. Group 2 - The electrolytic aluminum operating rate is high, with domestic inventory at a historical low of 51,000 tons as of July 24, 2025, supporting aluminum prices, while the operating rate exceeds 97% [3]. - The company has maintained a high dividend yield since its listing in 2011, with a projected dividend of 161 Hong Kong cents per share for 2024, a 156% increase from 2023, resulting in a dividend yield of 13.69% based on the last trading day’s closing price [3]. - The merger of the company's main electrolytic aluminum production enterprise, Hongtuo Industrial, with its subsidiary Hongchuang Holdings will significantly enhance the scale and profitability of Hongchuang Holdings, thereby opening up valuation space for China Hongqiao [4].